Machine Learning Model for Predicting the Material Properties and Bone Formation Rate and Direct Inverse Analysis of the Model for New Synthesis Conditions of Bioceramics-Reference-Cited by-同舟云学术

Machine Learning Model for Predicting the Material Properties and Bone Formation Rate and Direct Inverse Analysis of the Model for New Synthesis Conditions of Bioceramics

Published:2023-03-29 Issue:14 Volume:62 Page:5898-5906
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Motojima Kohei¹,Shiratsuchi Rina¹,Suzuki Kitaru¹,Aizawa Mamoru¹,Kaneko Hiromasa¹^ORCID

Affiliation:

1. Department of Applied Chemistry, School of Science and Technology, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan

Funder

Japan Society for the Promotion of Science

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.3c00332

Reference30 articles.

1. Innovative Biomaterials for Bone Regrowth

2. Silicon-containing apatite fiber scaffolds with enhanced mechanical property express osteoinductivity and high osteoconductivity

3. Interlaboratory studies on in vitro test methods for estimating in vivo resorption of calcium phosphate ceramics

4. Silicon: The evolution of its use in biomaterials

5. Synthesis of Si,Mg substituted hydroxyapatites and their sintering behaviors

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